Iris Software Python Developer Interview Questions and Answers

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Q1. Shifts the zeros to right
Ans. 
Shift all zeros in an array to the right while maintaining the order of non-zero elements.
• Iterate through the array and move all non-zero elements to the front of the array.

• Fill the remaining elements with zeros.

• Maintain the relative order of non-zero elements.
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Q2. What is decorator?
Ans. 
A decorator is a design pattern in Python that allows adding new functionality to an existing object without modifying its structure.
• Decorators are denoted by the @ symbol followed by the decorator function name.

• They are commonly used to modify or extend the behavior of functions or methods.

• Decorators can be used for logging, timing, authentication, caching, etc.

• Example: @staticmethod, @classmethod, @property
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Q1. SQL database questions
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Q1. About Selenium Xpath
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Q2. About Pytest fixtures
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Q3. SQL distinct and count
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Simple python programming concepts

Q1. Basic System design of inter service communication in transactional systems.
Ans. 
Inter service communication in transactional systems involves designing a reliable and efficient way for services to communicate and exchange data.
• Use asynchronous messaging systems like RabbitMQ or Kafka to decouple services and ensure reliable message delivery.

• Implement RESTful APIs for synchronous communication between services, using HTTP methods like GET, POST, PUT, DELETE.

• Consider using gRPC for high-performance,...read more
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Q2. Loading and processing a file with huge data volume
Ans. 
Use pandas library for efficient loading and processing of large files in Python.
• Use pandas read_csv() function with chunksize parameter to load large files in chunks.

• Optimize memory usage by specifying data types for columns in read_csv() function.

• Use pandas DataFrame methods like groupby(), merge(), and apply() for efficient data processing.

• Consider using Dask library for parallel processing of large datasets.

• Use gen...read more
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Q1. What is List Comprehension
Ans. 
List comprehension is a concise way to create lists in Python by iterating over an existing list or iterable.
• Syntax: [expression for item in iterable]

• Can include conditions: [expression for item in iterable if condition]

• Can be nested: [[i*j for j in range(1, 4)] for i in range(1, 4)]

• Can be used to create new lists from existing lists efficiently
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Q2. What are the types of Serializers in Django
Ans. 
Types of Serializers in Django include ModelSerializer, Serializer, and HyperlinkedModelSerializer.
• ModelSerializer: Used to serialize Django model instances.

• Serializer: Generic serializer class for custom data serialization.

• HyperlinkedModelSerializer: Includes hyperlinks to related resources in the serialized data.
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